benchmarkfcns.dejongn5¶
- benchmarkfcns.dejongn5(arg0: Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]', 'flags.c_contiguous']) Annotated[numpy.typing.NDArray[numpy.float64], '[m, 1]']¶
Computes the value of the De Jong N. 5 benchmark function (Shekel’s Foxholes). SCORES = dejongn5(X) computes the value of the De Jong N. 5 function at point X. dejongn5 accepts a matrix of size M-by-2 and returns a vetor SCORES of size M-by-1 in which each row contains the function value for the corresponding row of X. Properties:
Global minimum: approx 0.998004
Location of global minimum: (-32, -32)
Number of dimensions: 2
Recommended domain: [-65.536, 65.536]^2
Modality: multimodal (25 local minima/foxholes)
Mathematical Definition
Visualization